atinesh/Coursera-Machine-Learning-Stanford resource

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1180 stars · 747 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of solutions to the programming assignments and quizzes of Andrew Ng's Machine Learning course on Coursera (Stanford University), written in MATLAB/Octave. It also includes lecture slides and serves as a study reference for learners stuck on assignments.

Use cases

• solutions to coursera machine learning assignments
• study andrew ng machine learning course
• matlab octave machine learning examples
• reference for machine learning algorithms homework
• learn supervised learning regression and neural networks basics

When to choose

• you are taking the Coursera Machine Learning course and get stuck on an assignment
• you want worked MATLAB/Octave examples of classic ML algorithms
• you want lecture slides and quiz solutions alongside code

When to avoid

• you need a production machine learning library or framework
• you want to skip doing the assignments yourself and just copy answers
• you need modern Python-based ML tooling or deep learning code

Facets

learning-resource · maturity stable

machine-learning machine-learning education tutorials python cross-platform coursera andrew-ng matlab octave assignments solutions stanford

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